Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/huggingface/openenv/deploy-hfnpx skills add huggingface/OpenEnv --skill deploy-hfgit clone --depth 1 https://github.com/huggingface/OpenEnvWhat it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00032 | $0.01706 |
| Opus 5 | $0.00016 | $0.00853 |
| Sonnet 5 | $0.00006 | $0.00341 |
| Haiku 4.5 | $0.00003 | $0.00171 |
Grade A, and why
deploy-hf scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl https://<username>-<space-name>.hf.space/health How it starts
The opening of the file, as written. The whole thing — 220 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Deploy to Hugging Face Spaces
Deploy an OpenEnv environment to Hugging Face Spaces using the OpenEnv CLI.
When to Use This Skill
- User asks to "deploy to Hugging Face"
- User says "push to Hugging Face Spaces"
- User wants to update an existing space
- After implementing new features that need to be tested in production
Prerequisites
Before deploying, ensure:
- The environment has an
openenv.yamlfile - The environment has a
server/Dockerfile - You have Hugging Face credentials configured (automatic via huggingface-cli)
Instructions
1. Identify the Environment
Determine which environment to deploy:
- If user specifies: use that environment (e.g., "carla_env", "browser_env")
- If in environment directory: use current directory
- Otherwise: ask the user
2. Determine the Repository ID
Repository ID format: username/space-name
- If user provides full ID: use it (e.g., "sergiopaniego/carla-env-real-updated")
- If user provides only space name: construct ID with their username
- Check
openenv.yamlfor default repo-id - Otherwise: ask the user
3. Pre-Deployment Setup
IMPORTANT: Always run from the project root directory.
Before deploying, ensure OpenEnv is installed:
cd /path/to/OpenEnv # Navigate to project root if needed
uv pip install -e .
If this fails with "does not appear to be a Python project", you're not in the project root.
4. Run the Deployment Command
Execute the deployment:
PYTHONPATH=src uv run python -m openenv.cli push <environment-dir> --repo-id <username/space-name>
Parameters:
<environment-dir>: Path to environment (e.g.,envs/carla_env)--repo-id: Hugging Face Spaces repository ID (e.g.,sergiopaniego/carla-env-real-updated)
Optional flags:
--private: Deploy as a private space--no-interface: Disable the web interface (deploy API-only)--base-image <image>: Override the base Docker image--hardware <hw>/-H <hw>: Request Hugging Face Space hardware (e.g.t4-medium,a10g-small,cpu-basic)
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- yesterday First seen · 220 lines · 32 tokens per session scan A 2a56ced432e9
deploy-hf is a skill published in the GitHub repository huggingface/OpenEnv (2,531 stars, last pushed 4d ago), licensed BSD-3-Clause. It adds 32 tokens to every session and 1,706 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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